AI Credits
Last updated
Last updated
Every plan in Relay.app comes with a generous number of free AI credits. AI credits are a single pool of credits that are consumed when running steps that use AI-related features, including:
Prompting AI models
Audio transcription and text-to-speech
Website scraping
The free AI credits that come with all our subscriptions are good for reasonable usage—see the tables below for more details and examples.
If you run out of AI credits in Relay.app, purchase more in your billing settings, or contact support@relay.app for help. Alternatively, if you already pay for credits with a AI service provider, connect that account to Relay.app and switch your AI automations to use that connected model.
Plan | Free AI credits per month | Example uses |
---|---|---|
Free | 500 |
Or any combination of the above |
Professional | 1000 |
Or any combination of the above |
Team | 2000 |
Or any combination of the above |
When the AI credits included in your plan aren't enough, it's easy to add more via the billing page. Note that you need to be on a paid plan in order to be able to add additional AI credits. If you're on a Free plan, upgrade to Professional or Team first.
Updated: 2024-09-09
Different models and operations require different numbers of credits. This table shows an overview of how AI credits are calculated.
AI Model / tool | 1 AI credit is consumed for every... |
---|---|
Internet access / web scraping | -> 5 AI credits per website scraped/accessed |
OpenAI Audio Transcription | 6s of transcribed audio |
OpenAI Text-to-Speech (TTS) | Fast: 40 characters converted to speech High definition: 20 characters converted to speech |
DALL-E 3 image generation | -> 14 AI credits per image |
Anthropic Claude 3 Haiku | |
Anthropic Claude 3 Opus | |
Anthropic Claude 3.5 Sonnet | |
Google Gemini 1.5 Flash | |
Google Gemini 1.5 Pro | |
OpenAI GPT-4o mini | |
OpenAI GPT-4o |
To see how many AI credits your workspace has used this period and when they refresh, look at the widget on the bottom of the left-nav menu or in your billing settings.
Click on any completed step in a run to see how many credits it consumed when it ran.
The definition of a token differs slightly by model provider. Additionally, input and output tokens are also differentiated from a cost/consumption perspective. We suggest reading the short FAQs from each model provider to learn more:
Unfortunately, it's not trivial to predict how many tokens an AI step will consume upfront, although the articles linked above will give you a better understanding.
For AI steps in Relay.app, token usage is primarily influenced by these factors:
Context included in the prompt The more and larger the attached context, the more tokens will be used every time your step is executed. For example:
An email can easily increase token usage by a few thousand
A PDF can go way beyond that, depending on the size
Whether the step is given Internet access All text on the websites that the model needs to visit for your prompt is included as context, including user-hidden HTML. This can be anywhere between a few hundred to tens of thousands of tokens used per step execution, depending on how many websites the model needs to visit and how large they are.